Search Results - (( traits identification based algorithm ) OR ( java application customization algorithm ))

Tag clouds algorithm with the inclusion of personality traits by Ahmad Affandi, Supli

“…Furthermore, the algorithm to generate tag cloud visualization based on personality traits has not been explored. …”
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Real time electrocardiogram identification with multi-modal machine learning algorithms by Waili, Tuerxun, Mohd Nor, Rizal, Sidek, Khairul Azami, Abdul Rahman, Abdul Wahab, Guven, Ghokan

“…Biometrics like voice, brain signal and finger print are unique human traits that can be used for identification. In this paper we present an identification system based on Electrocardiogram (heart signal). …”
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Age detection from face using Convolutional Neural Network (CNN) / Hanin Hanisah Usok @ Yusoff by Usok @ Yusoff, Hanin Hanisah

“…In this project, we want to create an age identification system that uses Convolutional Neural Network (CNN) algorithms to estimate people's ages fast and accurately from facial images. …”
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Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad

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Characterization and pathogenicity of Rhizoctonia spp isolated from various crop species in different agroecosystems in Malaysia by Rashed, Osamah Zaid Ali

“…This study investigated Rhizoctonia isolates obtained from different crops and locations based on morphological traits, pathogenicity, molecular identification and genetic diversity characterization. …”
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Security system using biometric technology: Design and implementation of voice recognition system (VRS) by A. Rashid, Rozeha, Mahalin, Nur Hija, Sarijari, Mohd. Adib, Abdul Aziz, Ahmad Aizuddin

“…In this paper, we present an implementation of a security system based on voice identification as the access control key. …”
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In silico approaches for unearthing bacterial quorum-sensing inhibitors against pathogenic bacteria by Pawar, Shrikant, Bramha Chari, P. V., Lahiri, Chandrajit *

“…Thus, certain group of researchers also developed machine learning tools based on support vector machine (SVM) and hidden Markov models (HMM) for the identification of novel and effective biofilm inhibitory peptides (BIPs), while others used in silico approaches for predicting and designing of antibiofilm peptides usingbidirectional recursive neural network (BRNN) and Random Forest (RF) algorithms. …”
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Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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A MATLAB-Based Convolutional Neural Network Approach For Face Recognition System by Syazana Itqan, Khalid, Syafeeza, Ahmad Radzi, Norhashimah, Mohd Saad

“…The research on face recognition still continues after several decades since the study of this biometric trait exists. This paper discusses a method on developing a MATLAB-based Convolution Neural Network (CNN) face recognition system with Graphical User Interface (GUI) as the user input. …”
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Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. …”
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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review by Hashim, Suraya, Omar, Muhd Khaizer, Ab. Jalil, Habibah, Mohd Sharef, Nurfadhlina

“…The research and practices reported in the study also show how personalized learning was used and factors that made it work, thus the finding of this paper will guide other researchers to recognize various personal traits and the identification of appropriate technology trends and activities for further studies, as well as assist developers in the development of the personalized learning system and closely related to the adaptive learning systems.…”
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